Peter Burghout

22 papers receiving 880 citations

Peers

Peter Burghout
Comparison fields: 5 of 80
  • Microbiology 196
  • Endocrinology 97
  • Molecular Medicine 82
  • Epidemiology 284
  • Genetics 203
Replace Jelle Slager with:
Jelle Slager Netherlands
Sandra Muschiol Sweden
Stephen L. Michell United Kingdom
Andrea Ciammaruconi Italy
Anne Jamet France
Jing‐Ren Zhang China
Graham J. Boulnois United Kingdom
Wael Elhenawy Canada
Christian Rüter Germany
Freda E.‐C. Jen Australia
Peter Burghout relative to Jelle Slager Netherlands Jelle Slager's profile →
Citations per field
00.5×1.7×
Jelle Slager · 1×
Citations per year

Countries citing papers authored by Peter Burghout

Since Specialization
Citations

This map shows the geographic impact of Peter Burghout's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter Burghout with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Burghout more than expected).

Fields of papers citing papers by Peter Burghout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Burghout. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter Burghout. The network helps show where Peter Burghout may publish in the future.

Co-authors

The 25 scholars most cited alongside Peter Burghout, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Burghout Line = papers co-authored together Peter Burghout links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012105
2 200474
3 200471
4 200764
5 201063
6 201255
7 201052
8 200950
9 201050
10 201444
11 201138
12 200737
13 201234
14 201432
15 201330
16 201321
17 201318
18 201214
19 201214
20 200911

About Peter Burghout

Peter Burghout is a scholar working on Microbiology, Molecular Medicine, Endocrinology, Epidemiology and Infectious Diseases, having authored 23 papers that have together received 890 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (13 papers), Bacterial Infections and Vaccines (5 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Respiratory viral infections research (4 papers), Infective Endocarditis Diagnosis and Management (3 papers), Streptococcal Infections and Treatments (3 papers), Antibiotic Resistance in Bacteria (3 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). The work is most often cited by research in Microbiology (196 citations), Endocrinology (97 citations), Molecular Medicine (82 citations), Epidemiology (284 citations) and Genetics (203 citations). Peter Burghout has collaborated with scholars based in Netherlands, United States and Switzerland. Frequent co-authors include Peter W. M. Hermans, Hester J. Bootsma, Aldert Zomer, Christa E. van der Gaast‐de Jongh, Sacha A. F. T. van Hijum, Jetta J. E. Bijlsma, Ria van Boxtel, Jan Tommassen, Margot Koster and Elles Simonetti. Their work appears in journals such as Journal of Bacteriology, Infection and Immunity, Molecular Microbiology, PLoS ONE and BMC Genomics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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